2008.03 – 2012.02, 고려대학교 전기전자전파공학부 공학사
2012.03 – 2018.08, 고려대학교 전기전자전파공학과 공학박사

2018.09 – 2021.08, 삼성전자 종합기술원 Staff Researcher
2021.09 – 현재, 전북대학교 IT정보공학과 조교수

2013-2013 / Video saliency detection 알고리즘 연구, 삼성전자
2014-2015 / Image saliency detection 알고리즘 연구, 삼성전자
2014-2014 / 3D space modeling 알고리즘 연구, SK텔레콤
2015-2015 / Image segmentation 알고리즘 연구, SK텔레콤
2015-2016 / Superpixel segmentation 알고리즘 연구, LG전자
2016-2016 / Video superpixel segmentation 알고리즘 연구, IITP
2017-2018 / Tracking-by-segmentation 알고리즘 연구, NRF
2018-2021 / Super-resolution 알고리즘 연구, 삼성전자 종합기술원

<대표 SCI(E) 논문>
1. Se-Ho Lee, Je-Won Kang, and Chang-Su Kim, "Compressed domain video saliency detection using global and local spatiotemporal features," J. Vis. Commun. Image. Represent., vol. 35, pp. 169-183, Feb. 2016.

2. Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, “Tracking-by-segmentation using superpixel-wise neural network,” IEEE Access, vol. 6, pp. 54982-54993, Sep. 2018.

3. Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, “Superpixels for image and video processing based on proximity-weighted patch matching,” Multimedia Tools and Applications, vol. 79, pp. 13811-13839, Feb. 2020.

<대표 국제학술대회 논문>
1. Se-Ho Lee, Jin-Hwan Kim, Kwang Pyo Choi, Jae-Young Sim, and Chang-Su Kim, "Video saliency detection based on spatiotemporal feature learning," in Proc. IEEE ICIP, Paris, France, Oct. 2014.

2. Se-Ho Lee, Won-Dong Jang, Byung Kwan Park, and Chang-Su Kim, "RGB-D image segmentation based on multiple random walkers," in Proc. ICIP, Phoenix, Arizona, Sep. 2016.

3. Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, "Contour-constrained superpixels for image and video processing," in Proc. CVPR, Honolulu, Hawaii, Jul. 2017.

4. Se-Ho Lee, Won-Dong Jang, and Chang-Su Kim, "Temporal superpixels based on proximity-weighted patch matching," in Proc. ICCV, Venice, Italy, Oct. 2017.

<국제 특허>
1. Seho Lee, Yang Ho Cho, Deokyoung Kang, "Method and apparatus for restoring image," Patent No. EP 3816929 B1, Nov., 2022.